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SCANL Lab
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SCANL is a diverse team of scientists dedicated to studying program comprehension and software maintenance. SCANL research focuses on the latent connection between source code behavior and the natural
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SCANL Lab
author
Christian Newman
updated
2025-12-30 05:37:08
raw text
SCANL Lab SCANL Lab SCANL Lab News People Projects Identifier Names Identifier Renames Test Smells Publications Artifacts Datasets Tools Identifier Name Structure Catalogue Collaboration Contact Source Code Analysis and Natural Language Lab SCANL is a diverse team of scientists dedicated to studying the latent connection between source code behavior and the natural language elements used to describe that behavior. Interests Program Comprehension and Textual Analysis. There is a strong relationship between the natural language (e.g., found in identifiers) and behavior of source code; developers use this relationship to understand the code they read daily. We explore this relationship by studying rename refactorings, grammar patterns, and static source code analysis. Our goal is to support stronger techniques to automate identifier naming as well as support developers in reading and comprehending code more quickly. This is the research topic that u...
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